Webinar - Artificial Intelligence in Evidence-Based Medicine: What to expect?
Artificial Intelligence in Evidence-Based Medicine: What to expect?
31st January 2022 at 17:00 - 18:00 CET (11:00 - 12:00 EST, 08:00- 09:00 PST).
Evidence Prime held our first Webinar of 2022!
The webinar’s overarching theme was how AI can help with the challenges faced by the Evidence-Based Medicine community. We presented the evaluation of the tool for the data extraction: Dextr*, and demonstrated the current status and upcoming features of Laser AI**, which is the next-generation tool for creating living literature reviews.
Vickie R. Walker is a health scientist in the Division of the National Toxicology Program’s Integrative Health Assessment Branch at the National Institute of Environmental Health Sciences. She has been actively involved in the methods development and harmonization of literature-based environmental health science assessments for over 12 years. Vickie leads the evidence informatics activities for the Integrative Health Assessment branch investigating, developing, and applying semi-automated technologies (e.g., machine learning, natural language processing, and artificial intelligence approaches) and interactive data visualization in the systematic review and systematic evidence mapping workflow. The integration of these methods has improved efficiency in the time and resources required and improved communication and exploration of the gathered data. Her expertise and areas of interest are focused on the early phases of the systematic review process- problem formulation, search and selection, and data extraction. Vickie's accomplishments have led to numerous invited speaker roles to share scientific findings and to teach systematic review evaluation methods at the local and international levels.
Artur Nowak is a co-founder and the CTO of Evidence Prime. He helps the brightest minds answer the most challenging questions in healthcare through his work in the area of artificial intelligence, especially in the context of systematic review automation.
What are the topics?
- The concept of AI and new technology in EBM
- Dextr: the evaluation of the tool for data extraction
- Laser AI: the current status and upcoming features of our systematic review tool
See the summary of the Q&A session:
The recording available upon request: firstname.lastname@example.org
*Dextr: This work was supported by the Intramural Research Program (Contract GS00Q14OADU417, Task Order HHSN273201600015U) at NIEHS, NIH. DNTP initiated and directed the project providing guidance on tool requirements to support data extraction for literature-analysis as well as the evaluation plan.
**Laser AI: This work is supported by the European Union under the European Regional Development Fund via the "LaSeR" project (a “Fast Track to Innovation” program by the Polish National Centre for Research and Development).